Ohm Energie
Hamza Mraihi is a skilled data scientist currently working at Ohm Energie since October 2019, focusing on energy consumption data analysis and operational process implementation. Prior experience includes a role as a data scientist at MINES ParisTech, where Hamza studied climate impacts on electricity demand and developed predictive models for heating and cooling needs using neural networks. A former project focused on time series analysis for electricity demand forecasting utilizing machine learning algorithms. Hamza also served as the secretary general of the Association des Jeunes Polytechniciens, fostering student initiatives at the École Polytechnique de Tunisie. An internship at TCB Consulting Services led to the design of stock price forecasting models using machine learning, alongside earlier experience at Tunisie Télécom. Hamza holds a specialized master's degree in energy systems optimization from Mines Paris - PSL and an engineering diploma from Tunisia Polytechnic School. An academic background in physical chemistry was acquired at IPEIT.
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